How To Fix 5R077 - There is mismatch between the fields table and data table

SAP Error Message - Details

• Message type: E = Error

• Message class: 5R - HR-SG: Messages for HR Module SG, China, Hongkong and Taiwan

• Message number: 077

• Message text: There is mismatch between the fields table and data table

Self-Explanatory Message

Since SAP believes that this specific error message is 'self-explanatory,' no more information has been given.The majority of messages in the SAP system have a message text, however this is frequently insufficient to comprehend or resolve the problem.

To make things easier, more detailed information is frequently added to describe the issue, how to fix it, and the necessary steps or configuration modifications.

Unfortunately, there isn't any extra information in this error notice.

What else can you do?

First, use our AnswerBot below to get a possible cause and solution (requires a premium subscription).

Also, review the in-depth Common Questions & Answers listed below; you could discover a solution there or be able to connect with others who have faced similar challenges.

You can also try searching the SAP support portal (support.sap.com) but you need a special user ID to access it. It is possible that an SAP support note exists that provides additional details about the mistake or even steps for fixing it.

Smart SAP Assistant

• What is the cause and solution for SAP error message 5R077 - There is mismatch between the fields table and data table ?

  The SAP error message 5R077 indicates that there is a mismatch between the fields defined in a table and the data that is being processed or loaded into that table. This error typically arises in the context of data processing, such as during data uploads, data migrations, or when working with data models in SAP systems.
  Cause:
  
  
  Field Mismatch: The structure of the data being loaded does not match the expected structure of the target table. This could be due to:
  
  Missing fields in the data.
  Extra fields in the data that are not defined in the table.
  Data types of the fields not matching (e.g., trying to load a string into a numeric field).
  Incorrect field lengths.
  
  
  
  Changes in Table Structure: If the table structure has been modified (e.g., fields added or removed) after the data extraction or before the data load, this can lead to mismatches.
  
  
  Incorrect Mapping: If you are using a data mapping tool or process, the mapping between the source data and the target table fields may be incorrect.
  
  
  Solution:
  
  
  Check Table Structure: Verify the structure of the target table in SAP. Ensure that all required fields are present and that their data types and lengths match the incoming data.
  
  
  Validate Data Source: Review the data source to ensure that it contains all the necessary fields and that they are formatted correctly. Make sure there are no extra fields or missing fields.
  
  
  Adjust Data Mapping: If you are using a mapping tool, check the mapping configuration to ensure that each field in the source data corresponds correctly to the fields in the target table.
  
  
  Data Transformation: If necessary, transform the data to match the expected structure of the target table. This may involve:
  
  Removing unnecessary fields.
  Adding missing fields with default values.
  Converting data types as needed.
  
  
  
  Testing: After making adjustments, test the data load process again to see if the error persists.
  
  
  Related Information:
  
  Transaction Codes: Depending on the context, you may need to use specific transaction codes to check table structures (e.g., SE11 for Data Dictionary).
  SAP Notes: Check SAP Notes for any known issues or patches related to this error message.
  Data Migration Tools: If you are using tools like SAP Data Services or LSMW (Legacy System Migration Workbench), refer to their documentation for specific guidelines on handling field mismatches.
  Logs and Traces: Review logs and traces for more detailed error messages that can provide additional context on the mismatch.
  
  By following these steps, you should be able to identify and resolve the cause of the 5R077 error in your SAP system.